Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-2811-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-2811-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
10 Jul 2019
Model description paper |
| 10 Jul 2019
| 10 Jul 2019
CALIOPE-Urban v1.0: coupling R-LINE with a mesoscale air quality modelling system for urban air quality forecasts over Barcelona city (Spain)
Jaime Benavides
Barcelona Supercomputing Center, Barcelona, Spain
Michelle Snyder
Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, USA
Marc Guevara
Barcelona Supercomputing Center, Barcelona, Spain
Albert Soret
Barcelona Supercomputing Center, Barcelona, Spain
Carlos Pérez García-Pando
Barcelona Supercomputing Center, Barcelona, Spain
Fulvio Amato
Institute of Environmental Assessment and Water Research, IDAEA-CSIC, Barcelona, Spain
Xavier Querol
Institute of Environmental Assessment and Water Research, IDAEA-CSIC, Barcelona, Spain
Barcelona Supercomputing Center, Barcelona, Spain
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- Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
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- A physiology-inspired framework for holistic city simulations I. Meta et al. 10.1016/j.cities.2021.103553
- To what extent the traffic restriction policies applied in Barcelona city can improve its air quality? D. Rodriguez-Rey et al. 10.1016/j.scitotenv.2021.150743
- The urban dispersion model EPISODE v10.0 – Part 1: An Eulerian and sub-grid-scale air quality model and its application in Nordic winter conditions P. Hamer et al. 10.5194/gmd-13-4323-2020
- Comparison of static and dynamic exposures to air pollution, noise, and greenness among seniors living in compact-city environments O. Marquet et al. 10.1186/s12942-023-00325-8
- Comprehensive evaluation of an advanced street canyon air pollution model C. Hood et al. 10.1080/10962247.2020.1803158
- Less can be more: Pruning street networks for sustainable city-making J. Argota Sánchez-Vaquerizo & D. Helbing 10.1016/j.trip.2023.100878
- A prototype of a micro-scale model for the distribution of NO2 in urban areas I. de-Pouplana et al. 10.1016/j.apr.2023.101668
- What we can learn from birdsong: Mainstreaming teleworking in a post-pandemic world D. Bojovic et al. 10.1016/j.esg.2020.100074
- Modelling concentration heterogeneities in streets using the street-network model MUNICH T. Sarica et al. 10.5194/gmd-16-5281-2023
- Traffic pollution as a privilege: An intersectional approach to environmental justice and transport emissions J. Cubells et al. 10.1016/j.trd.2023.104032
- Towards sustainable and net-zero cities: A review of environmental modelling and monitoring tools for optimizing emissions reduction strategies for improved air quality in urban areas A. O'Regan & M. Nyhan 10.1016/j.envres.2023.116242
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- HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. 10.5194/gmd-13-873-2020
- Using Machine Learning to estimate the impact of ports and cruise ship traffic on urban air quality: The case of Barcelona A. Fabregat et al. 10.1016/j.envsoft.2021.104995
- Estimates of population exposure to atmospheric pollution and health-related externalities in a real city: The impact of spatial resolution on the accuracy of results J. Santiago et al. 10.1016/j.scitotenv.2021.152062
- Simulating the pollutant dispersion during persistent Wintertime thermal Inversions over urban areas. The case of Madrid A. Martilli et al. 10.1016/j.atmosres.2022.106058
- Using Machine Learning to estimate the impact of different modes of transport and traffic restriction strategies on urban air quality A. Fabregat et al. 10.1016/j.uclim.2022.101284
- An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. 10.1016/j.uclim.2022.101143
- Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping Z. Lv et al. 10.5194/acp-22-15685-2022
- An urban large-eddy-simulation-based dispersion model for marginal grid resolutions: CAIRDIO v1.0 M. Weger et al. 10.5194/gmd-14-1469-2021
- Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0 A. Criado et al. 10.5194/gmd-16-2193-2023
- Large-scale citizen science provides high-resolution nitrogen dioxide values and health impact while enhancing community knowledge and collective action J. Perelló et al. 10.1016/j.scitotenv.2021.147750
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Latest update: 19 Apr 2024
Short summary
The NO2 annual air quality limit value is systematically exceeded in many European cities. In this context, understanding human exposure, improving policy and planning, and providing forecasts requires the development of accurate air quality models at street level. We describe CALIOPE-Urban, a system coupling an operational mesoscale air quality forecast system with an urban roadway dispersion model over Barcelona city (Spain). The methodology may be replicated for other cities in the future.
The NO2 annual air quality limit value is systematically exceeded in many European cities. In...
